• Own the Salesforce instance end-to-end: system health, release management, configuration, user management, and adoption across GTM teams • Partner with the Enterprise Architect on architecture decisions while owning all execution and day-to-day operations • Maintain 99%+ system uptime and establish a structured release cadence • Establish and enforce data quality standards across GTM systems, including validation rules, deduplication, and hygiene processes • Ensure clean, reliable data flows downstream to the Data Analytics team and other stakeholders • Build governance frameworks that prevent data quality issues rather than just cleaning them up after the fact • Starting with Salesforce as the core, progressively expand operational ownership across the broader GTM tool ecosystem • Drive adoption, reduce redundancy, and improve rep productivity across the tools your team manages • Partner with the Enterprise Architect on strategic tooling decisions • Identify workflow automation and AI opportunities across GTM operations • Partner with the AI Automation team to implement solutions, measured by time saved and manual steps eliminated • Think forward about how AI can reduce support demand, free up capacity for shipping, and improve how the team operates • Build and lead a high-performing RevTech team with clear operating rhythms and performance expectations • Develop your people’s skills and career paths • Run the team like a combined product and support organization: ship improvements proactively while triaging and resolving stakeholder requests effectively